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Scholars Journal of Medical Case Reports | Volume-13 | Issue-04
Socio-Demographic Profile and Psychiatric Comorbidities in Patients with Chronic Osteoarthritis: A Comprehensive Analysis
Moumita Sing, Debasis Saha, Vanlalchhuanawmi
Published: April 7, 2025 | 31 33
DOI: https://doi.org/10.36347/sjmcr.2025.v13i04.007
Pages: 565-569
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Abstract
Introduction: Osteoarthritis (OA) is a chronic degenerative joint disease that significantly impacts physical function and quality of life, particularly among older adults. The sociodemographic profile of patients suffering from OA with psychiatric comorbidities plays a crucial role in understanding the interplay between social determinants and disease progression. Materials and methods: A hospital-based, cross-sectional study was conducted at Nil Ratan Sircar Medical College and Hospital, Kolkata. A sample of 100 patients aged 30–60 years, diagnosed with OA (Kellgren- Lawrence Grade ≥2) was recruited. The study was approved by ethical committee of the institute. The data collected was entered into suitable software and analysis was done using appropriate software. Results: The majority of the study population was female (64%), while the remaining 36% were male. 22% of participants were between 30 and 40 years old, the largest proportion (40%) belonged to the 40–50-year age group, and the remaining 38% were aged between 50 and 60 years. Among the participants, 44% belonged to the lower class, 38% to the lower-middle class, 12% to the upper-lower class, and 6% to the upper-middle class. 80% of the study population was from rural areas, while 20% resided in urban settings. the majority of participants were Muslim (64%), while the remaining 36% were Hindu. Marital status data revealed that 92% of the participants were married, while 8% were unmarried. Family structure analysis showed that 58% of the participants belonged to joint families, while the remaining 42% lived in nuclear family settings. Conclusions: Future research should focus on longitudinal studies to establish causal relationships and assess the effectiveness of integrated treatment approaches. Exploring the genetic and molecular underpinnings of OA, alongside novel therapeutic interventions, can lead to more personalised treatment plans.